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A survey and taxonomy of loss functions in machine learning
This survey aims to provide a reference of the most essential loss functions for both beginner and advanced machine learning practitioners.
Maximum entropy exploration in contextual bandits with neural networks and energy based models
This provides practitioners with new techniques that perform well in static and dynamic settings, and are particularly well suited to non-linear scenarios with continuous action spaces.
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